Implementing the Water Asset Accounts (WAA) over the EEA area. Lessons learnt from “broad-brush” and “refined” implementation. Key challenges for data collection Philippe Crouzet EEA. The EEA.
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Lessons learnt from “broad-brush” and “refined” implementation. Key challenges for data collection
EEA member countries
European Neighbourhood Policy
Strategy for a new partnership for Central Asia
Do gains compensate for losses? Can gain substitute to losses?
Has the quality of the stock been maintained?Accounting conceptual model applied to water assets accounts and data issues
Gain in stock
e.g. by storage
Data Time unit
Data content issue
Loss of stock
e.g. by usage
Catchment statistical unit human usesDefining the S.U. on the pilot Ebro catchment
The high differences between reaches demonstrates the need for considering river segment as SU
<2 m3/sWater assets cartographic outputs on the Ebro pilot catchment
Essential: cannot be modelled for considering river segment as SU
Replaceable: can be modelled from other variable
PointData categorisation & hierarchy
Define accurately statistical units
These three data sets are built from totally independent sources
Spatial modelling refined approach
Detailed dataStratified approach: urban water supply example
Urgent progresses to make under SEIS,
Source: FAO requirements?
The problem with this source is that it presents only an area where irrigation could be done per cell (5’*5’). This gives a certain potential, to model with crops
Assumptions to be carried out in the accounting computation.
For refined computation, in the absence of other source, apportionment of JRC source (as volume per 10*10km cell) was used after apportioning per sub-basin, which is the smaller aggregation level (sub-basins are apportionment of RBDs).
Secondary assumption were made to share surface /GW and seasonalise.